op {
  graph_op_name: "LinSpace"
  visibility: HIDDEN
  in_arg {
    name: "start"
    description: <<END
0-D tensor. First entry in the range.
END
  }
  in_arg {
    name: "stop"
    description: <<END
0-D tensor. Last entry in the range.
END
  }
  in_arg {
    name: "num"
    description: <<END
0-D tensor. Number of values to generate.
END
  }
  out_arg {
    name: "output"
    description: <<END
1-D. The generated values.
END
  }
  summary: "Generates values in an interval."
  description: <<END
A sequence of `num` evenly-spaced values are generated beginning at `start`.
If `num > 1`, the values in the sequence increase by
`(stop - start) / (num - 1)`, so that the last one is exactly `stop`.

For example:

```
tf.linspace(10.0, 12.0, 3, name="linspace") => [ 10.0  11.0  12.0]
```
END
}
